Final Medical Data Report

Dataset statistics

Number of variables	27
Number of observations	91659
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	21.6 MiB
Average record size in memory	247.1 B

Variable types

Categorical	15
Numeric	12

Alerts

`bun_apache` is highly overall correlated with `creatinine_apache`	High correlation
`creatinine_apache` is highly overall correlated with `bun_apache`	High correlation
`gcs_motor_apache` is highly overall correlated with `intubated_apache` and 3 other fields	High correlation
`apache_post_operative` is highly overall correlated with `elective_surgery`	High correlation
`elective_surgery` is highly overall correlated with `apache_post_operative`	High correlation
`cirrhosis` is highly overall correlated with `hepatic_failure`	High correlation
`hepatic_failure` is highly overall correlated with `cirrhosis`	High correlation
`intubated_apache` is highly overall correlated with `ventilated_apache` and 2 other fields	High correlation
`ventilated_apache` is highly overall correlated with `intubated_apache` and 2 other fields	High correlation
`gcs_eyes_apache` is highly overall correlated with `intubated_apache` and 3 other fields	High correlation
`gcs_verbal_apache` is highly overall correlated with `gcs_eyes_apache` and 1 other fields	High correlation
`diabetes_mellitus` is highly overall correlated with `glucose_apache`	High correlation
`glucose_apache` is highly overall correlated with `diabetes_mellitus`	High correlation

Reproduction

Analysis started	2022-12-21 11:10:50.567710
Analysis finished	2022-12-21 11:12:08.587205
Duration	1 minute and 18.02 seconds
Software version	pandas-profiling vv3.5.0
Download configuration	config.json

hospital_death
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.4 MiB

0	83747
1	7912

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	91659
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	83747	91.4%
1	7912	8.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	83747	91.4%
1	7912	8.6%

Most occurring characters

Value	Count	Frequency (%)
0	83747	91.4%
1	7912	8.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	91659	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	83747	91.4%
1	7912	8.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	91659	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	83747	91.4%
1	7912	8.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	91659	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	83747	91.4%
1	7912	8.6%

apache_post_operative
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.4 MiB

0	73215
1	18444

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	91659
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
0	73215	79.9%
1	18444	20.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	73215	79.9%
1	18444	20.1%

Most occurring characters

Value	Count	Frequency (%)
0	73215	79.9%
1	18444	20.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	91659	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	73215	79.9%
1	18444	20.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	91659	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	73215	79.9%
1	18444	20.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	91659	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	73215	79.9%
1	18444	20.1%

elective_surgery
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.4 MiB

0	74808
1	16851

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	91659
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
0	74808	81.6%
1	16851	18.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	74808	81.6%
1	16851	18.4%

Most occurring characters

Value	Count	Frequency (%)
0	74808	81.6%
1	16851	18.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	91659	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	74808	81.6%
1	16851	18.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	91659	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	74808	81.6%
1	16851	18.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	91659	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	74808	81.6%
1	16851	18.4%

aids
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.4 MiB

0.0	91581
1.0	78

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	274977
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	91581	99.9%
1.0	78	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	91581	99.9%
1.0	78	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	183240	66.6%
.	91659	33.3%
1	78	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	183318	66.7%
Other Punctuation	91659	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	183240	> 99.9%
1	78	< 0.1%

Other Punctuation

Value	Count	Frequency (%)
.	91659	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	274977	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	183240	66.6%
.	91659	33.3%
1	78	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	274977	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	183240	66.6%
.	91659	33.3%
1	78	< 0.1%

cirrhosis
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.4 MiB

0.0	90231
1.0	1428

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	274977
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	90231	98.4%
1.0	1428	1.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	90231	98.4%
1.0	1428	1.6%

Most occurring characters

Value	Count	Frequency (%)
0	181890	66.1%
.	91659	33.3%
1	1428	0.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	183318	66.7%
Other Punctuation	91659	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	181890	99.2%
1	1428	0.8%

Other Punctuation

Value	Count	Frequency (%)
.	91659	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	274977	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	181890	66.1%
.	91659	33.3%
1	1428	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	274977	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	181890	66.1%
.	91659	33.3%
1	1428	0.5%

diabetes_mellitus
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.4 MiB

0.0	71167
1.0	20492

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	274977
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	71167	77.6%
1.0	20492	22.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	71167	77.6%
1.0	20492	22.4%

Most occurring characters

Value	Count	Frequency (%)
0	162826	59.2%
.	91659	33.3%
1	20492	7.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	183318	66.7%
Other Punctuation	91659	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	162826	88.8%
1	20492	11.2%

Other Punctuation

Value	Count	Frequency (%)
.	91659	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	274977	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	162826	59.2%
.	91659	33.3%
1	20492	7.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	274977	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	162826	59.2%
.	91659	33.3%
1	20492	7.5%

hepatic_failure
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.4 MiB

0.0	90477
1.0	1182

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	274977
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	90477	98.7%
1.0	1182	1.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	90477	98.7%
1.0	1182	1.3%

Most occurring characters

Value	Count	Frequency (%)
0	182136	66.2%
.	91659	33.3%
1	1182	0.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	183318	66.7%
Other Punctuation	91659	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	182136	99.4%
1	1182	0.6%

Other Punctuation

Value	Count	Frequency (%)
.	91659	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	274977	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	182136	66.2%
.	91659	33.3%
1	1182	0.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	274977	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	182136	66.2%
.	91659	33.3%
1	1182	0.4%

immunosuppression
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.4 MiB

0.0	89278
1.0	2381

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	274977
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	89278	97.4%
1.0	2381	2.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	89278	97.4%
1.0	2381	2.6%

Most occurring characters

Value	Count	Frequency (%)
0	180937	65.8%
.	91659	33.3%
1	2381	0.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	183318	66.7%
Other Punctuation	91659	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	180937	98.7%
1	2381	1.3%

Other Punctuation

Value	Count	Frequency (%)
.	91659	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	274977	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	180937	65.8%
.	91659	33.3%
1	2381	0.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	274977	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	180937	65.8%
.	91659	33.3%
1	2381	0.9%

leukemia
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.4 MiB

0.0	91016
1.0	643

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	274977
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	91016	99.3%
1.0	643	0.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	91016	99.3%
1.0	643	0.7%

Most occurring characters

Value	Count	Frequency (%)
0	182675	66.4%
.	91659	33.3%
1	643	0.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	183318	66.7%
Other Punctuation	91659	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	182675	99.6%
1	643	0.4%

Other Punctuation

Value	Count	Frequency (%)
.	91659	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	274977	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	182675	66.4%
.	91659	33.3%
1	643	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	274977	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	182675	66.4%
.	91659	33.3%
1	643	0.2%

lymphoma
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.4 MiB

0.0	91283
1.0	376

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	274977
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	91283	99.6%
1.0	376	0.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	91283	99.6%
1.0	376	0.4%

Most occurring characters

Value	Count	Frequency (%)
0	182942	66.5%
.	91659	33.3%
1	376	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	183318	66.7%
Other Punctuation	91659	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	182942	99.8%
1	376	0.2%

Other Punctuation

Value	Count	Frequency (%)
.	91659	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	274977	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	182942	66.5%
.	91659	33.3%
1	376	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	274977	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	182942	66.5%
.	91659	33.3%
1	376	0.1%

solid_tumor_with_metastasis
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.4 MiB

0.0	89781
1.0	1878

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	274977
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	89781	98.0%
1.0	1878	2.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	89781	98.0%
1.0	1878	2.0%

Most occurring characters

Value	Count	Frequency (%)
0	181440	66.0%
.	91659	33.3%
1	1878	0.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	183318	66.7%
Other Punctuation	91659	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	181440	99.0%
1	1878	1.0%

Other Punctuation

Value	Count	Frequency (%)
.	91659	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	274977	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	181440	66.0%
.	91659	33.3%
1	1878	0.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	274977	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	181440	66.0%
.	91659	33.3%
1	1878	0.7%

intubated_apache
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.4 MiB

0.0	77898
1.0	13761

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	274977
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	1.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	77898	85.0%
1.0	13761	15.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	77898	85.0%
1.0	13761	15.0%

Most occurring characters

Value	Count	Frequency (%)
0	169557	61.7%
.	91659	33.3%
1	13761	5.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	183318	66.7%
Other Punctuation	91659	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	169557	92.5%
1	13761	7.5%

Other Punctuation

Value	Count	Frequency (%)
.	91659	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	274977	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	169557	61.7%
.	91659	33.3%
1	13761	5.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	274977	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	169557	61.7%
.	91659	33.3%
1	13761	5.0%

ventilated_apache
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.4 MiB

0.0	62019
1.0	29640

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	274977
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	1.0
3rd row	0.0
4th row	1.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	62019	67.7%
1.0	29640	32.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	62019	67.7%
1.0	29640	32.3%

Most occurring characters

Value	Count	Frequency (%)
0	153678	55.9%
.	91659	33.3%
1	29640	10.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	183318	66.7%
Other Punctuation	91659	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	153678	83.8%
1	29640	16.2%

Other Punctuation

Value	Count	Frequency (%)
.	91659	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	274977	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	153678	55.9%
.	91659	33.3%
1	29640	10.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	274977	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	153678	55.9%
.	91659	33.3%
1	29640	10.8%

bun_apache
Real number (ℝ)

Distinct	19675
Distinct (%)	21.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	25.748069

Minimum	4
Maximum	127
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.4 MiB

Quantile statistics

Minimum	4
5-th percentile	8
Q1	14
median	22
Q3	29.479939
95-th percentile	63
Maximum	127
Range	123
Interquartile range (IQR)	15.479939

Descriptive statistics

Standard deviation	18.500936
Coefficient of variation (CV)	0.71853686
Kurtosis	7.4293565
Mean	25.748069
Median Absolute Deviation (MAD)	8
Skewness	2.3663893
Sum	2360042.2
Variance	342.28464
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
13	3186	3.5%
14	3173	3.5%
12	3131	3.4%
15	3092	3.4%
11	3023	3.3%
16	2853	3.1%
10	2797	3.1%
17	2602	2.8%
18	2435	2.7%
9	2354	2.6%
Other values (19665)	63013	68.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4	776	0.8%
4.3	2	< 0.1%
4.4	1	< 0.1%
4.6	2	< 0.1%
4.7	1	< 0.1%
4.8	1	< 0.1%
5	744	0.8%
5.1	1	< 0.1%
5.3	3	< 0.1%
5.4	3	< 0.1%

Value	Count	Frequency (%)
127	355	0.4%
126	18	< 0.1%
125	13	< 0.1%
124	15	< 0.1%
123	21	< 0.1%
122.2	1	< 0.1%
122	13	< 0.1%
121	27	< 0.1%
120	17	< 0.1%
119	19	< 0.1%

creatinine_apache
Real number (ℝ)

Distinct	19917
Distinct (%)	21.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.4800012

Minimum	0.079365237
Maximum	11.18
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.4 MiB

Quantile statistics

Minimum	0.079365237
5-th percentile	0.51
Q1	0.79
median	1.1799503
Q3	1.5652657
95-th percentile	3.81
Maximum	11.18
Range	11.100635
Interquartile range (IQR)	0.7752657

Descriptive statistics

Standard deviation	1.3658352
Coefficient of variation (CV)	0.92286082
Kurtosis	19.457096
Mean	1.4800012
Median Absolute Deviation (MAD)	0.38995032
Skewness	3.9371285
Sum	135655.43
Variance	1.8655057
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.8	2568	2.8%
0.7	2552	2.8%
0.9	2058	2.2%
0.6	1906	2.1%
1.1	1329	1.4%
1	1328	1.4%
1.2	1165	1.3%
0.5	1121	1.2%
1.3	961	1.0%
1.4	796	0.9%
Other values (19907)	75875	82.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.07936523664	1	< 0.1%
0.1857121653	1	< 0.1%
0.2653857675	1	< 0.1%
0.2911592128	1	< 0.1%
0.3	361	0.4%
0.3021057416	1	< 0.1%
0.3079817649	1	< 0.1%
0.3094222677	1	< 0.1%
0.31	40	< 0.1%
0.316	2	< 0.1%

Value	Count	Frequency (%)
11.18	349	0.4%
11.17	2	< 0.1%
11.11	1	< 0.1%
11.1	4	< 0.1%
11.08	1	< 0.1%
11.07	1	< 0.1%
11.05	1	< 0.1%
11.03	1	< 0.1%
11	7	< 0.1%
10.97	1	< 0.1%

gcs_eyes_apache
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.4 MiB

4.0	62998
3.0	15604
1.0	8274
2.0	4783

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	274977
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3.0
2nd row	1.0
3rd row	3.0
4th row	4.0
5th row	3.0

Common Values

Value	Count	Frequency (%)
4.0	62998	68.7%
3.0	15604	17.0%
1.0	8274	9.0%
2.0	4783	5.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
4.0	62998	68.7%
3.0	15604	17.0%
1.0	8274	9.0%
2.0	4783	5.2%

Most occurring characters

Value	Count	Frequency (%)
.	91659	33.3%
0	91659	33.3%
4	62998	22.9%
3	15604	5.7%
1	8274	3.0%
2	4783	1.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	183318	66.7%
Other Punctuation	91659	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	91659	50.0%
4	62998	34.4%
3	15604	8.5%
1	8274	4.5%
2	4783	2.6%

Other Punctuation

Value	Count	Frequency (%)
.	91659	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	274977	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	91659	33.3%
0	91659	33.3%
4	62998	22.9%
3	15604	5.7%
1	8274	3.0%
2	4783	1.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	274977	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	91659	33.3%
0	91659	33.3%
4	62998	22.9%
3	15604	5.7%
1	8274	3.0%
2	4783	1.7%

gcs_motor_apache
Real number (ℝ)

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.4599876

Minimum	1
Maximum	6
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.4 MiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	6
median	6
Q3	6
95-th percentile	6
Maximum	6
Range	5
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	1.2788468
Coefficient of variation (CV)	0.23422156
Kurtosis	6.3211196
Mean	5.4599876
Median Absolute Deviation (MAD)	0
Skewness	-2.6963216
Sum	500457
Variance	1.6354492
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
6	71000	77.5%
5	9612	10.5%
1	5543	6.0%
4	4651	5.1%
3	544	0.6%
2	309	0.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	5543	6.0%
2	309	0.3%
3	544	0.6%
4	4651	5.1%
5	9612	10.5%
6	71000	77.5%

Value	Count	Frequency (%)
6	71000	77.5%
5	9612	10.5%
4	4651	5.1%
3	544	0.6%
2	309	0.3%
1	5543	6.0%

gcs_verbal_apache
Categorical

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.4 MiB

5.0	56911
1.0	16741
4.0	11631
3.0	4380
2.0	1996

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	274977
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	4.0
2nd row	1.0
3rd row	5.0
4th row	5.0
5th row	4.0

Common Values

Value	Count	Frequency (%)
5.0	56911	62.1%
1.0	16741	18.3%
4.0	11631	12.7%
3.0	4380	4.8%
2.0	1996	2.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
5.0	56911	62.1%
1.0	16741	18.3%
4.0	11631	12.7%
3.0	4380	4.8%
2.0	1996	2.2%

Most occurring characters

Value	Count	Frequency (%)
.	91659	33.3%
0	91659	33.3%
5	56911	20.7%
1	16741	6.1%
4	11631	4.2%
3	4380	1.6%
2	1996	0.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	183318	66.7%
Other Punctuation	91659	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	91659	50.0%
5	56911	31.0%
1	16741	9.1%
4	11631	6.3%
3	4380	2.4%
2	1996	1.1%

Other Punctuation

Value	Count	Frequency (%)
.	91659	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	274977	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	91659	33.3%
0	91659	33.3%
5	56911	20.7%
1	16741	6.1%
4	11631	4.2%
3	4380	1.6%
2	1996	0.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	274977	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	91659	33.3%
0	91659	33.3%
5	56911	20.7%
1	16741	6.1%
4	11631	4.2%
3	4380	1.6%
2	1996	0.7%

glucose_apache
Real number (ℝ)

Distinct	11538
Distinct (%)	12.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	159.80854

Minimum	39
Maximum	598.7
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.4 MiB

Quantile statistics

Minimum	39
5-th percentile	75
Q1	100
median	144.27727
Q3	187
95-th percentile	328
Maximum	598.7
Range	559.7
Interquartile range (IQR)	87

Descriptive statistics

Standard deviation	85.351729
Coefficient of variation (CV)	0.53408741
Kurtosis	5.4207852
Mean	159.80854
Median Absolute Deviation (MAD)	44.277269
Skewness	1.9697907
Sum	14647891
Variance	7284.9177
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
96	973	1.1%
92	955	1.0%
97	930	1.0%
98	917	1.0%
93	916	1.0%
91	916	1.0%
95	906	1.0%
99	901	1.0%
94	899	1.0%
102	861	0.9%
Other values (11528)	82485	90.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
39	409	0.4%
40	31	< 0.1%
41	42	< 0.1%
42	48	0.1%
43	33	< 0.1%
44	22	< 0.1%
45	32	< 0.1%
46	44	< 0.1%
47	51	0.1%
48	50	0.1%

Value	Count	Frequency (%)
598.7	408	0.4%
598	7	< 0.1%
597	3	< 0.1%
596	2	< 0.1%
595	3	< 0.1%
594	4	< 0.1%
593	2	< 0.1%
592	3	< 0.1%
591	4	< 0.1%
590	2	< 0.1%

heart_rate_apache
Real number (ℝ)

Distinct	964
Distinct (%)	1.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	99.705769

Minimum	30
Maximum	178
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.4 MiB

Quantile statistics

Minimum	30
5-th percentile	47
Q1	87
median	104
Q3	120
95-th percentile	146
Maximum	178
Range	148
Interquartile range (IQR)	33

Descriptive statistics

Standard deviation	30.732672
Coefficient of variation (CV)	0.30823363
Kurtosis	-0.42576079
Mean	99.705769
Median Absolute Deviation (MAD)	16
Skewness	-0.26825823
Sum	9138931.1
Variance	944.4971
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
100	1860	2.0%
108	1806	2.0%
102	1794	2.0%
104	1724	1.9%
98	1716	1.9%
106	1689	1.8%
110	1638	1.8%
96	1634	1.8%
60	1624	1.8%
112	1609	1.8%
Other values (954)	74565	81.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
30	561	0.6%
31	73	0.1%
32	105	0.1%
33	79	0.1%
34	111	0.1%
35	108	0.1%
36	127	0.1%
37	130	0.1%
38	171	0.2%
39	175	0.2%

Value	Count	Frequency (%)
178	462	0.5%
177	33	< 0.1%
176	37	< 0.1%
175	46	0.1%
174	57	0.1%
173	38	< 0.1%
172	56	0.1%
171	35	< 0.1%
170	70	0.1%
169	64	0.1%

hematocrit_apache
Real number (ℝ)

Distinct	20168
Distinct (%)	22.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	33.042069

Minimum	16.2
Maximum	51.4
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.4 MiB

Quantile statistics

Minimum	16.2
5-th percentile	22.3
Q1	29.5
median	33.214529
Q3	36.6
95-th percentile	43.1
Maximum	51.4
Range	35.2
Interquartile range (IQR)	7.1

Descriptive statistics

Standard deviation	6.1325845
Coefficient of variation (CV)	0.18559929
Kurtosis	0.27194783
Mean	33.042069
Median Absolute Deviation (MAD)	3.5854711
Skewness	-0.028107903
Sum	3028603
Variance	37.608592
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
34	544	0.6%
36	538	0.6%
35	523	0.6%
33	504	0.5%
31	494	0.5%
29	477	0.5%
32	477	0.5%
37	460	0.5%
30	458	0.5%
38	445	0.5%
Other values (20158)	86739	94.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
16.2	380	0.4%
16.3	18	< 0.1%
16.4	20	< 0.1%
16.5	21	< 0.1%
16.6	8	< 0.1%
16.7	15	< 0.1%
16.8	22	< 0.1%
16.9	21	< 0.1%
17	35	< 0.1%
17.1	22	< 0.1%

Value	Count	Frequency (%)
51.4	368	0.4%
51.3	17	< 0.1%
51.2	11	< 0.1%
51.1	11	< 0.1%
51	16	< 0.1%
50.9	13	< 0.1%
50.8	13	< 0.1%
50.7	11	< 0.1%
50.6	15	< 0.1%
50.5	13	< 0.1%

map_apache
Real number (ℝ)

Distinct	1092
Distinct (%)	1.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	88.016055

Minimum	40
Maximum	200
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.4 MiB

Quantile statistics

Minimum	40
5-th percentile	42
Q1	54
median	67
Q3	124
95-th percentile	164
Maximum	200
Range	160
Interquartile range (IQR)	70

Descriptive statistics

Standard deviation	41.818392
Coefficient of variation (CV)	0.47512232
Kurtosis	-0.77132126
Mean	88.016055
Median Absolute Deviation (MAD)	21
Skewness	0.70181204
Sum	8067463.6
Variance	1748.7779
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
56	2122	2.3%
54	2029	2.2%
60	1971	2.2%
58	1955	2.1%
53	1893	2.1%
55	1882	2.1%
52	1877	2.0%
40	1874	2.0%
57	1844	2.0%
51	1814	2.0%
Other values (1082)	72398	79.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
40	1874	2.0%
41	1450	1.6%
42	1383	1.5%
43	1358	1.5%
44	1360	1.5%
45	1333	1.5%
46	1435	1.6%
47	1507	1.6%
48	1654	1.8%
49	1579	1.7%

Value	Count	Frequency (%)
200	141	0.2%
199	128	0.1%
198	100	0.1%
197	113	0.1%
196	121	0.1%
195	121	0.1%
194	109	0.1%
193	90	0.1%
192	109	0.1%
191	95	0.1%

resprate_apache
Real number (ℝ)

Distinct	1245
Distinct (%)	1.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	25.808423

Minimum	4
Maximum	60
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.4 MiB

Quantile statistics

Minimum	4
5-th percentile	5
Q1	11
median	28
Q3	36
95-th percentile	53
Maximum	60
Range	56
Interquartile range (IQR)	25

Descriptive statistics

Standard deviation	15.010394
Coefficient of variation (CV)	0.58160832
Kurtosis	-0.90134954
Mean	25.808423
Median Absolute Deviation (MAD)	14
Skewness	0.26058631
Sum	2365574.3
Variance	225.31192
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10	4303	4.7%
12	4221	4.6%
11	3911	4.3%
4	3528	3.8%
9	3432	3.7%
30	3145	3.4%
28	3074	3.4%
8	2927	3.2%
29	2887	3.1%
31	2725	3.0%
Other values (1235)	57506	62.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4	3528	3.8%
5	2076	2.3%
5.9	1	< 0.1%
6	2091	2.3%
7	2415	2.6%
7.1	2	< 0.1%
7.2	1	< 0.1%
7.8	1	< 0.1%
8	2927	3.2%
8.4	1	< 0.1%

Value	Count	Frequency (%)
60	937	1.0%
59	666	0.7%
58	516	0.6%
57	509	0.6%
56	494	0.5%
55	511	0.6%
54	512	0.6%
53	524	0.6%
52	569	0.6%
51	554	0.6%

sodium_apache
Real number (ℝ)

Distinct	18656
Distinct (%)	20.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	137.93389

Minimum	117
Maximum	158
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.4 MiB

Quantile statistics

Minimum	117
5-th percentile	130
Q1	136
median	138
Q3	140
95-th percentile	145
Maximum	158
Range	41
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	4.7269919
Coefficient of variation (CV)	0.034269983
Kurtosis	4.3328398
Mean	137.93389
Median Absolute Deviation (MAD)	2
Skewness	-0.30454821
Sum	12642882
Variance	22.344453
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
139	7543	8.2%
138	7461	8.1%
140	6948	7.6%
137	6741	7.4%
136	5766	6.3%
141	5636	6.1%
135	4481	4.9%
142	4349	4.7%
134	3660	4.0%
143	2858	3.1%
Other values (18646)	36216	39.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
117	470	0.5%
118	62	0.1%
119	87	0.1%
120	83	0.1%
120.4	1	< 0.1%
121	119	0.1%
122	150	0.2%
122.4	1	< 0.1%
123	162	0.2%
123.4	1	< 0.1%

Value	Count	Frequency (%)
158	314	0.3%
157	58	0.1%
156	62	0.1%
155	104	0.1%
154	95	0.1%
153	141	0.2%
152	190	0.2%
151.1	1	< 0.1%
151	209	0.2%
150	334	0.4%

temp_apache
Real number (ℝ)

Distinct	4236
Distinct (%)	4.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	36.414908

Minimum	32.1
Maximum	39.7
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.4 MiB

Quantile statistics

Minimum	32.1
5-th percentile	35.3
Q1	36.2
median	36.5
Q3	36.7
95-th percentile	37.3
Maximum	39.7
Range	7.6
Interquartile range (IQR)	0.5

Descriptive statistics

Standard deviation	0.81589022
Coefficient of variation (CV)	0.02240539
Kurtosis	9.4780535
Mean	36.414908
Median Absolute Deviation (MAD)	0.3
Skewness	-0.9870833
Sum	3337754.1
Variance	0.66567685
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
36.4	9347	10.2%
36.6	8572	9.4%
36.7	8076	8.8%
36.3	6667	7.3%
36.5	6193	6.8%
36.8	5778	6.3%
36.2	4802	5.2%
36.1	4594	5.0%
36.9	3698	4.0%
36	2807	3.1%
Other values (4226)	31125	34.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
32.1	516	0.6%
32.16	1	< 0.1%
32.2	62	0.1%
32.22	1	< 0.1%
32.27	1	< 0.1%
32.3	53	0.1%
32.33	1	< 0.1%
32.4	49	0.1%
32.5	56	0.1%
32.6	70	0.1%

Value	Count	Frequency (%)
39.7	370	0.4%
39.66	4	< 0.1%
39.61	5	< 0.1%
39.6	95	0.1%
39.55	9	< 0.1%
39.5	132	0.1%
39.44	9	< 0.1%
39.4	211	0.2%
39.39	1	< 0.1%
39.38	9	< 0.1%

wbc_apache
Real number (ℝ)

Distinct	25024
Distinct (%)	27.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	12.073749

Minimum	0.9
Maximum	45.8
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.4 MiB

Quantile statistics

Minimum	0.9
5-th percentile	4.8
Q1	8.34
median	11.2
Q3	14.060112
95-th percentile	23.4
Maximum	45.8
Range	44.9
Interquartile range (IQR)	5.720112

Descriptive statistics

Standard deviation	6.0866763
Coefficient of variation (CV)	0.5041248
Kurtosis	6.2412141
Mean	12.073749
Median Absolute Deviation (MAD)	2.86
Skewness	1.9044326
Sum	1106667.7
Variance	37.047628
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
7.4	546	0.6%
8	540	0.6%
8.4	537	0.6%
7.6	533	0.6%
8.8	527	0.6%
7.8	525	0.6%
8.2	523	0.6%
7.9	520	0.6%
7	511	0.6%
9	511	0.6%
Other values (25014)	86386	94.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.9	341	0.4%
0.92	1	< 0.1%
0.93	1	< 0.1%
0.94	1	< 0.1%
0.95	1	< 0.1%
0.97	2	< 0.1%
1	38	< 0.1%
1.03	1	< 0.1%
1.05	3	< 0.1%
1.06	1	< 0.1%

Value	Count	Frequency (%)
45.8	347	0.4%
45.7	2	< 0.1%
45.68	2	< 0.1%
45.6	1	< 0.1%
45.5	2	< 0.1%
45.49	1	< 0.1%
45.4	4	< 0.1%
45.35	1	< 0.1%
45.3	3	< 0.1%
45.2	1	< 0.1%

bmi
Real number (ℝ)

Distinct	38273
Distinct (%)	41.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	29.190047

Minimum	14.844926
Maximum	67.81499
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.4 MiB

Quantile statistics

Minimum	14.844926
5-th percentile	18.934657
Q1	23.784833
median	27.903396
Q3	32.690378
95-th percentile	44.256442
Maximum	67.81499
Range	52.970064
Interquartile range (IQR)	8.9055446

Descriptive statistics

Standard deviation	8.1239492
Coefficient of variation (CV)	0.2783123
Kurtosis	3.6337389
Mean	29.190047
Median Absolute Deviation (MAD)	4.3686555
Skewness	1.4631468
Sum	2675530.5
Variance	65.998551
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
14.84492591	440	0.5%
67.81498973	420	0.5%
24.01776785	87	0.1%
24.20811	86	0.1%
27.35933163	82	0.1%
22.60610272	79	0.1%
23.29590458	79	0.1%
24.8046875	78	0.1%
25.81229652	77	0.1%
29.049732	76	0.1%
Other values (38263)	90155	98.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
14.84492591	440	0.5%
14.84526746	1	< 0.1%
14.86419531	1	< 0.1%
14.86453979	2	< 0.1%
14.86695021	1	< 0.1%
14.86737667	1	< 0.1%
14.87603306	1	< 0.1%
14.8780004	1	< 0.1%
14.87871348	1	< 0.1%
14.88002976	1	< 0.1%

Value	Count	Frequency (%)
67.81498973	420	0.5%
67.81263563	1	< 0.1%
67.7978059	1	< 0.1%
67.78345128	1	< 0.1%
67.77927558	1	< 0.1%
67.74710784	1	< 0.1%
67.72486772	1	< 0.1%
67.71626298	1	< 0.1%
67.71150768	1	< 0.1%
67.5078125	1	< 0.1%

Auto

The auto setting is an interpretable pairwise column metric of the following mapping:

Variable_type-Variable_type : Method, Range
Categorical-Categorical : Cramer's V, [0,1]
Numerical-Categorical : Cramer's V, [0,1] (using a discretized numerical column)
Numerical-Numerical : Spearman's ρ, [-1,1]

The number of bins used in the discretization for the Numerical-Categorical column pair can be changed using config.correlations["auto"].n_bins. The number of bins affects the granularity of the association you wish to measure.

This configuration uses the recommended metric for each pair of columns.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

	hospital_death	apache_post_operative	elective_surgery	diabetes_mellitus	immunosuppression	intubated_apache	ventilated_apache	bun_apache	creatinine_apache	gcs_eyes_apache	gcs_motor_apache	gcs_verbal_apache	glucose_apache	heart_rate_apache	hematocrit_apache	map_apache	resprate_apache	sodium_apache	temp_apache	wbc_apache	bmi
0	0	0	0	1.0	0.0	0.0	0.0	31.000000	2.510000	3.0	6.0	4.0	168.000000	118.0	27.400000	40.0	36.0	134.000000	39.3	14.100000	22.730000
1	0	0	0	1.0	0.0	0.0	1.0	9.000000	0.560000	1.0	3.0	1.0	145.000000	120.0	36.900000	46.0	33.0	145.000000	35.1	12.700000	27.420000
2	0	0	0	0.0	0.0	0.0	0.0	26.549901	1.540111	3.0	6.0	5.0	161.838925	102.0	33.183774	68.0	37.0	137.288818	36.7	12.080022	31.950000
3	0	1	1	0.0	0.0	1.0	1.0	29.906691	1.671505	4.0	6.0	5.0	185.000000	114.0	25.900000	60.0	4.0	137.604818	34.8	8.000000	22.640000
4	0	0	0	0.0	0.0	0.0	0.0	22.939165	1.392613	3.0	5.0	4.0	144.649805	60.0	34.372624	103.0	16.0	138.054379	36.7	10.234223	29.779233
5	0	0	0	1.0	0.0	0.0	0.0	13.000000	0.710000	4.0	6.0	5.0	156.000000	113.0	44.200000	130.0	35.0	137.000000	36.6	10.900000	27.560000
6	0	0	0	1.0	0.0	1.0	1.0	18.000000	0.780000	4.0	6.0	5.0	197.000000	133.0	33.500000	138.0	53.0	135.000000	35.0	5.900000	57.450000
7	0	0	0	0.0	1.0	0.0	1.0	48.000000	2.050000	4.0	6.0	5.0	164.000000	120.0	22.600000	60.0	28.0	140.000000	36.6	12.800000	27.882868
8	1	0	0	0.0	0.0	0.0	1.0	15.000000	1.160000	4.0	6.0	5.0	380.000000	82.0	37.900000	66.0	14.0	142.000000	36.9	24.700000	32.564259
9	0	0	0	0.0	0.0	0.0	0.0	10.000000	0.830000	4.0	6.0	5.0	134.000000	94.0	37.200000	58.0	46.0	139.000000	36.3	8.400000	25.710000

	apache_post_operative	elective_surgery	diabetes_mellitus	solid_tumor_with_metastasis	ventilated_apache	bun_apache	creatinine_apache	gcs_eyes_apache	gcs_motor_apache	gcs_verbal_apache	glucose_apache	heart_rate_apache	hematocrit_apache	map_apache	resprate_apache	sodium_apache	temp_apache	wbc_apache	bmi
91703	0	0	1.0	0.0	0.0	24.000000	1.400000	3.0	6.0	5.0	198.000000	60.00000	36.000000	133.000000	34.000000	136.000000	36.90000	15.530000	45.935203
91704	0	0	0.0	0.0	0.0	50.000000	7.100000	4.0	6.0	4.0	251.000000	106.00000	35.000000	94.000000	14.000000	140.000000	36.80000	8.560000	32.992923
91705	0	0	1.0	0.0	0.0	15.000000	0.800000	4.0	6.0	5.0	240.000000	88.00000	33.506859	54.000000	13.000000	134.000000	36.40000	11.912697	28.876843
91706	0	0	0.0	0.0	0.0	15.000000	0.700000	4.0	6.0	5.0	91.000000	55.00000	41.000000	62.000000	12.000000	139.000000	36.60000	7.140000	19.770448
91707	0	0	0.0	0.0	0.0	26.354639	1.543024	3.0	5.0	4.0	165.290275	99.32712	33.444718	89.412137	25.824444	137.869237	36.43373	12.197320	33.933518
91708	0	0	1.0	1.0	1.0	30.451676	1.493422	4.0	6.0	5.0	381.000000	115.00000	31.641095	48.000000	9.000000	136.251252	36.60000	14.220166	23.060250
91709	0	0	0.0	0.0	0.0	34.000000	2.300000	4.0	6.0	5.0	177.000000	100.00000	33.000000	62.000000	33.000000	136.000000	37.40000	4.220000	47.179671
91710	0	0	1.0	0.0	0.0	33.000000	2.300000	3.0	6.0	4.0	538.000000	158.00000	36.000000	57.000000	4.000000	135.000000	35.80000	17.550000	27.236914
91711	0	0	0.0	0.0	0.0	25.035906	1.371066	4.0	5.0	4.0	140.047979	60.00000	32.446897	54.000000	14.000000	138.288204	36.30000	10.675263	23.297481
91712	1	1	0.0	0.0	1.0	27.000000	1.500000	4.0	6.0	1.0	158.000000	101.00000	36.000000	56.000000	4.000000	132.000000	36.00000	24.400000	22.031250

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common